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Review of RFID and IoT integration in supply chain management

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  • Tan, Weng Chun
  • Sidhu, Manjit Singh

Abstract

Supply Chain Management (SCM) is increasingly complex and dynamic. Radio frequency identification (RFID) and the Internet of Things (IoT) are expected to play a significant role in fulfilling customer requirements in the supply chain. In this work, the integration of RFID with IoT is called RFID-IoT. RFID-IoT strives to develop automated sensing, seamless, interoperable and highly secure systems by connecting IoT devices through the internet. In this paper, the authors have systematically reviewed the selected literature on the application of RFID-IoT in supply chain management. The contribution of this paper is to review the current state-of-the-art literature and potential trend on the application of RFID-IoT in SCM. There is a need for an in-depth, comprehensive analysis of up-to-date literature to help enhance the management system efficiency, maximize productivity, and minimize cost. This work also explores the current challenges of the reviewed papers in RFID-IoT implementation in the supply chain. The conceptual framework model has been conducted from four major critical SCM perspectives: product manufacturing, shipping and distribution, inventory and retail shop. In the future, this review's highlighted insights and recommendations will hopefully lead to increased efforts toward developing RFID-IoT technologies.

Suggested Citation

  • Tan, Weng Chun & Sidhu, Manjit Singh, 2022. "Review of RFID and IoT integration in supply chain management," Operations Research Perspectives, Elsevier, vol. 9(C).
  • Handle: RePEc:eee:oprepe:v:9:y:2022:i:c:s2214716022000070
    DOI: 10.1016/j.orp.2022.100229
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    References listed on IDEAS

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    1. Ádám Novotny & Lóránt Dávid & Hajnalka Csáfor, 2015. "Applying RFID technology in the retail industry – benefits and concerns from the consumer’s perspective," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 17(39), pages 615-615, May.
    2. Tianji Yang & Chao Fu & Xinbao Liu & Jun Pei & Lin Liu & Panos M. Pardalos, 2018. "Closed-loop supply chain inventory management with recovery information of reusable containers," Journal of Combinatorial Optimization, Springer, vol. 35(1), pages 266-292, January.
    3. Qiu, Xuan & Luo, Hao & Xu, Gangyan & Zhong, Runyang & Huang, George Q., 2015. "Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP)," International Journal of Production Economics, Elsevier, vol. 159(C), pages 4-15.
    4. Raut, Rakesh D. & Mangla, Sachin Kumar & Narwane, Vaibhav S. & Dora, Manoj & Liu, Mengqi, 2021. "Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    5. Lim, Ming K. & Bahr, Witold & Leung, Stephen C.H., 2013. "RFID in the warehouse: A literature analysis (1995–2010) of its applications, benefits, challenges and future trends," International Journal of Production Economics, Elsevier, vol. 145(1), pages 409-430.
    6. Caro, Felipe & Sadr, Ramin, 2019. "The Internet of Things (IoT) in retail: Bridging supply and demand," Business Horizons, Elsevier, vol. 62(1), pages 47-54.
    7. Mihai DOINEA & Catalin BOJA & Lorena BATAGAN & Cristian TOMA & Marius POPA, 2015. "Internet of Things Based Systems for Food Safety Management," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 19(1), pages 87-97.
    8. Sarac, Aysegul & Absi, Nabil & Dauzère-Pérès, Stéphane, 2010. "A literature review on the impact of RFID technologies on supply chain management," International Journal of Production Economics, Elsevier, vol. 128(1), pages 77-95, November.
    9. Sumit Maheshwari & Prerna Gautam & Chandra K. Jaggi, 2021. "Role of Big Data Analytics in supply chain management: current trends and future perspectives," International Journal of Production Research, Taylor & Francis Journals, vol. 59(6), pages 1875-1900, March.
    10. Zhang, Yingfeng & Zhang, Geng & Du, Wei & Wang, Junqiang & Ali, Ebad & Sun, Shudong, 2015. "An optimization method for shopfloor material handling based on real-time and multi-source manufacturing data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 282-292.
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    Cited by:

    1. Yasser Khan & Mazliham Bin Mohd Su’ud & Muhammad Mansoor Alam & Syed Fayaz Ahmad & Ahmad Y. A. Bani Ahmad (Ayassrah) & Nasir Khan, 2022. "Application of Internet of Things (IoT) in Sustainable Supply Chain Management," Sustainability, MDPI, vol. 15(1), pages 1-14, December.
    2. Sajjad Shokouhyar & Mehrdad Maghsoudi & Shahrzad Khanizadeh & Saeid Jorfi, 2024. "Analyzing supply chain technology trends through network analysis and clustering techniques: a patent-based study," Annals of Operations Research, Springer, vol. 341(1), pages 313-348, October.

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    Keywords

    RFID; IoT and SCM;

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